After exploring the fundamentals of diffusion model sampling, parameterization, and training as explained in Generative AI Research Spotlight: Demystifying…
After exploring the fundamentals of diffusion model sampling, parameterization, and training as explained in Generative AI Research Spotlight: Demystifying Diffusion-Based Models, our team began investigating the internals of these network architectures. This turned out to be a frustrating exercise. Any direct attempt to improve these models tended to worsen the results. They seemed to be in…